eLife

Neural Representation of Associative Threat Learning in Pulvinar Divisions, Lateral Geniculate Nucleus, and Mediodorsal Thalamus in Humans

Understanding the neural mechanisms underlying associative threat learning is essential for advancing behavioral models of threat and adaptation. We investigated distinct activation patterns across ...
eLife

Neural dynamics of reversal learning in the prefrontal cortex and recurrent neural networks

The findings of this study are valuable, offering insights into the neural representation of reversal probability in decision-making tasks, with potential implications for understanding flexible ...
IEEE

Quality-Factor-Inspired Deep Neural Network Solver for Solving Inverse Scattering Problems

Abstract: Deep neural networks (DNNs) have been applied to address electromagnetic inverse scattering problems (ISPs) and shown superior imaging performances, which can be affected by the training ...
IEEE

Enhanced Deep Learning SAR Despeckling Networks Based on SAR Assessing Metrics

Abstract: The proposal of deep learning (DL) solutions for synthetic aperture radar (SAR) image despeckling has recently widespread. Such solutions have been mainly designed from a DL perspective by ...